31 lines
992 B
Python
31 lines
992 B
Python
# Author: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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# License: BSD 3 clause
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import numpy as np
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import pytest
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from sklearn.mixture import BayesianGaussianMixture, GaussianMixture
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@pytest.mark.parametrize("estimator", [GaussianMixture(), BayesianGaussianMixture()])
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def test_gaussian_mixture_n_iter(estimator):
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# check that n_iter is the number of iteration performed.
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rng = np.random.RandomState(0)
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X = rng.rand(10, 5)
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max_iter = 1
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estimator.set_params(max_iter=max_iter)
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estimator.fit(X)
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assert estimator.n_iter_ == max_iter
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@pytest.mark.parametrize("estimator", [GaussianMixture(), BayesianGaussianMixture()])
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def test_mixture_n_components_greater_than_n_samples_error(estimator):
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"""Check error when n_components <= n_samples"""
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rng = np.random.RandomState(0)
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X = rng.rand(10, 5)
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estimator.set_params(n_components=12)
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msg = "Expected n_samples >= n_components"
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with pytest.raises(ValueError, match=msg):
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estimator.fit(X)
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